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ABOUT THE BOOK

This book highlights recent research advances in various domains related to software ecosystems such as library reuse, collaborative development, cloud computing, open science, sentiment analysis and machine learning. A key aspect of software ecosystems is that software products belong to ever more interdependent networks of co-evolving software components. The ever-increasing importance of social coding platforms has made software ecosystems indispensable to software practitioners, in commercial as well as open-source settings.

The book starts with an introductory chapter that provides a historical account of the origins of software ecosystems. It provides the necessary context about the domain of software ecosystems by highlighting its different perspectives, definitions, and representations. It also exemplifies the variety of software ecosystems that have emerged during the previous decades. The remaining book is composed of five parts: Part I contains two chapters on software ecosystem representations, Part II two chapters that focus on complementary ways and techniques of analyzing software ecosystems. Next, Part III includes two chapters that focus on aspects related to the evolution within software ecosystems, while Part IV looks at workflow automation and infrastructure-as-code ecosystems. Finally, Part V focuses on ecosystems for software modeling and for data-intensive software.

This book is intended for researchers and practitioners interested in data mining, tooling, and empirical analysis of software ecosystems. The reader will appreciate chapters that cover a wide spectrum of social and technical aspects of software ecosystems, each including an overview of the state of the art.

TABLE OF CONTENTS

1. Front Matter

   Pages i-xxii

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2. An Introduction to Software Ecosystems

   • Tom Mens, Coen De Roover

   Pages 1-29

3. Software Ecosystem Representations

   1. Front Matter

      Pages 31-31

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   2. The Software Heritage Open Science Ecosystem

      • Roberto Di Cosmo, Stefano Zacchiroli

      Pages 33-61Open Access

   3. Promises and Perils of Mining Software Package Ecosystem Data

      • Raula Gaikovina Kula, Katsuro Inoue, Christoph Treude

      Pages 63-81

4. Analyzing Software Ecosystems

   1. Front Matter

      Pages 83-83

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   2. Mining for Software Library Usage Patterns Within an Ecosystem: Are We There Yet?

      • Tien N. Nguyen

      Pages 85-103

   3. Emotion Analysis in Software Ecosystems

      • Nicole Novielli, Alexander Serebrenik

      Pages 105-127

5. Evolution Within Software Ecosystems

   1. Front Matter

      Pages 129-129

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   2. Analyzing Variant Forks of Software Repositories from Social Coding Platforms

      • John Businge, Mehrdad Abdi, Serge Demeyer

      Pages 131-152

   3. Supporting Collateral Evolution in Software Ecosystems

      • Zhou Yang, Bowen Xu, David Lo

      Pages 153-179

6. Software Automation Ecosystems

   1. Front Matter

      Pages 181-181

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   2. The GitHub Development Workflow Automation Ecosystems

      • Mairieli Wessel, Tom Mens, Alexandre Decan, Pooya Rostami Mazrae

      Pages 183-214

   3. Infrastructure-as-Code Ecosystems

      • Ruben Opdebeeck, Ahmed Zerouali, Coen De Roover

      Pages 215-245

7. Model-Centered Software Ecosystems

   1. Front Matter

      Pages 247-247

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   2. Machine Learning for Managing Modeling Ecosystems: Techniques, Applications, and a Research Vision

      • Davide Di Ruscio, Phuong T. Nguyen, Alfonso Pierantonio

      Pages 249-279

   3. Mining, Analyzing, and Evolving Data-Intensive Software Ecosystems

      • Csaba Nagy, Michele Lanza, Anthony Cleve

      Pages 281-3